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Description
The nonprofit sector has experienced exponential growth in recent decades, thus creating a separate industry for nonprofits—an industry that requires education and training to run efficiently and successfully. As a result, Nonprofit Management Education (NME) at both graduate and undergraduate levels has steadily increased in number and demand. Recent changes

The nonprofit sector has experienced exponential growth in recent decades, thus creating a separate industry for nonprofits—an industry that requires education and training to run efficiently and successfully. As a result, Nonprofit Management Education (NME) at both graduate and undergraduate levels has steadily increased in number and demand. Recent changes in the political climate and changes in the government funding present new challenges to nonprofit professionals, thus enhancing the value of specific NME to prepare professionals for these challenges. To leverage NME and ensure that students are adequately prepared for these challenges, it is important to design curriculum that addresses the needs of the growing nonprofit industry. The Nonprofit Academic Center of Councils is the creator of the NACC Curricular Guidelines, which are currently used as a model all NME curricula should emulate. This study utilizes Arizona State University (ASU) to compare its current curriculum model to the NACC Curricular Guidelines, as well as the current challenges facing the nonprofit sector. In so doing, this study will provide an in-depth overview of NME at ASU through 1) focus groups of nonprofit leaders; 2) survey data from former students; and 3) curriculum mapping.

The comprehensive results indicated areas of opportunity for both ASU and the NACC Curricular Guidelines. According to the feedback of students, nonprofit professionals, and the current state of the ASU curriculum, ASU may wish to increase emphasis on Financial Management, Managing Staff and Volunteers, Assessment, Evaluation, and Decision Making, and Leading and Managing Nonprofit Organizations. After considering feedback from nonprofit professionals, NACC may consider amending some new competencies that reflect an emphasis on collective impact, cross sector leadership, or relationship building and the use of technology for nonprofit impact. The research team recommends accomplishing these changes through enhancing pedagogy by including case studies and an integrated curriculum into the ASU NME program. by applying the suggested changes to both the ASU curriculum and the NACC guidelines, this research prepares both ASU and NACC towards the process of accreditation and formalizing the NLM degree on a national level.
ContributorsFindlay, Molly Rebecca (Author) / Legg, Eric (Thesis director) / Ashcraft, Robert (Committee member) / Department of Information Systems (Contributor) / School of Community Resources and Development (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description
This thesis, entitled "A Community Perspective on Alcohol Education," was conducted over a ten month period during the Spring 2014 and Fall 2014 semesters, composed by Christopher Stuller and Nicholas Schmitzer. The research involved interviewing twelve professionals from Arizona State University and the City of Tempe to gather a holistic

This thesis, entitled "A Community Perspective on Alcohol Education," was conducted over a ten month period during the Spring 2014 and Fall 2014 semesters, composed by Christopher Stuller and Nicholas Schmitzer. The research involved interviewing twelve professionals from Arizona State University and the City of Tempe to gather a holistic view on alcohol education and alcohol safety as it involves the students at ASU. Upon completion of the interviews, recommendations were made regarding areas of improvement for alcohol education and alcohol safety at Arizona State University. These recommendations range from creating a mandatory alcohol education class to passing a Guardian Angel Law to creating a national network of alcohol education best practices. Through this thesis, the authors hope to prevent future alcohol related injuries, deaths, and tragedies. For the final display of this thesis a website was created. For the ease of reading, all information has been presented in text format.
ContributorsSchmitzer, Nicholas (Co-author) / Stuller, Christopher (Co-author) / Koretz, Lora (Thesis director) / Scott Lynch, Jacquelyn (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Department of Supply Chain Management (Contributor)
Created2014-12
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Description
This piece aims to discuss the roles of emerging geographies within the context of global supply chains, approaching the conversation with a "systems" view, emphasizing three key facets essential to a holistic and interdisciplinary environmental analysis: -The Implications of Governmental & Economic Activities -Supply Chain Enablement Activities, Risk Mitigation in

This piece aims to discuss the roles of emerging geographies within the context of global supply chains, approaching the conversation with a "systems" view, emphasizing three key facets essential to a holistic and interdisciplinary environmental analysis: -The Implications of Governmental & Economic Activities -Supply Chain Enablement Activities, Risk Mitigation in Emerging Nations -Implications Regarding Sustainability, Corporate Social Responsibility In the appreciation of the interdisciplinary implications that stem from participation in global supply networks, supply chain professionals can position their firms for continued success in the proactive construction of robust and resilient supply chains. Across industries, how will supply networks in emerging geographies continue to evolve? Appreciating the inherent nuances related to the political and economic climate of a region, the extent to which enablement activities must occur, and sustainability/CSR tie-ins will be key to acquire this understanding. This deliverable aims to leverage the work of philosophers, researchers and business personnel as these questions are explored. The author will also introduce a novel method of teaching (IMRS) in the undergraduate business classroom that challenges the students to integrate their prior experiences both in the classroom and in the business world as they learn to craft locally relevant solutions to solve complex global problems.
ContributorsVaney, Rachel Lee (Author) / Maltz, Arnold (Thesis director) / Kellso, James (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor)
Created2015-05
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Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that hel

Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
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Description
Coherent vortices are ubiquitous structures in natural flows that affect mixing and transport of substances and momentum/energy. Being able to detect these coherent structures is important for pollutant mitigation, ecological conservation and many other aspects. In recent years, mathematical criteria and algorithms have been developed to extract these coherent structures

Coherent vortices are ubiquitous structures in natural flows that affect mixing and transport of substances and momentum/energy. Being able to detect these coherent structures is important for pollutant mitigation, ecological conservation and many other aspects. In recent years, mathematical criteria and algorithms have been developed to extract these coherent structures in turbulent flows. In this study, we will apply these tools to extract important coherent structures and analyze their statistical properties as well as their implications on kinematics and dynamics of the flow. Such information will aide representation of small-scale nonlinear processes that large-scale models of natural processes may not be able to resolve.
ContributorsCass, Brentlee Jerry (Author) / Tang, Wenbo (Thesis director) / Kostelich, Eric (Committee member) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Exchange traded funds (ETFs) in many ways are similar to more traditional closed-end mutual funds, although thee differ in a crucial way. ETFs rely on a creation and redemption feature to achieve their functionality and this mechanism is designed to minimize the deviations that occur between the ETF’s listed price

Exchange traded funds (ETFs) in many ways are similar to more traditional closed-end mutual funds, although thee differ in a crucial way. ETFs rely on a creation and redemption feature to achieve their functionality and this mechanism is designed to minimize the deviations that occur between the ETF’s listed price and the net asset value of the ETF’s underlying assets. However while this does cause ETF deviations to be generally lower than their mutual fund counterparts, as our paper explores this process does not eliminate these deviations completely. This article builds off an earlier paper by Engle and Sarkar (2006) that investigates these properties of premiums (discounts) of ETFs from their fair market value. And looks to see if these premia have changed in the last 10 years. Our paper then diverges from the original and takes a deeper look into the standard deviations of these premia specifically.

Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
ContributorsZhang, Jingbo (Co-author, Co-author) / Henning, Thomas (Co-author) / Simonson, Mark (Thesis director) / Licon, L. Wendell (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The object of the present study is to examine methods in which the company can optimize their costs on third-party suppliers whom oversee other third-party trade labor. The third parties in scope of this study are suspected to overstaff their workforce, thus overcharging the company. We will introduce a complex

The object of the present study is to examine methods in which the company can optimize their costs on third-party suppliers whom oversee other third-party trade labor. The third parties in scope of this study are suspected to overstaff their workforce, thus overcharging the company. We will introduce a complex spreadsheet model that will propose a proper project staffing level based on key qualitative variables and statistics. Using the model outputs, the Thesis team proposes a headcount solution for the company and problem areas to focus on, going forward. All sources of information come from company proprietary and confidential documents.
ContributorsLoo, Andrew (Co-author) / Brennan, Michael (Co-author) / Sheiner, Alexander (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2014-05
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Description
This paper explores factors to study why the number of students in STEM are not as high as they could be. Based on both Veda and Soumya's personal experiences, factors were chosen to understand their impact on whether a high school student would choose a STEM major in their college

This paper explores factors to study why the number of students in STEM are not as high as they could be. Based on both Veda and Soumya's personal experiences, factors were chosen to understand their impact on whether a high school student would choose a STEM major in their college of choice, which could lead them to having a career in STEM. The factors explored will be location, grade level, school, parent/guardian involvement, teacher involvement, media influences, and personal interest. Data was collected through surveys sent to both high school and college students. The high school data came solely from schools in the Phoenix area, whereas college students' data came from across the world. These surveys contained questions regarding all of the above factors and were crafted so that we could gain further insight into each factor without producing bias. Each factor had at least one personal experience by either Veda or Soumya. Many of the survey responses gave insight to how and why a student would decide to pursue STEM or why they did pursue STEM. The main implications derived from the study are the following: the importance of a good support network, active parent/guardian and teacher involvement, and specifically active science teacher involvement. Data from both college and high school students showed that students highly valued a science teacher. One recommendation from this thesis is to provide a training for teachers to learn about how to connect concepts they teach to real-world applications. This can be administered through the district so that they may bring in anyone they feel is qualified to teach such topics such as industry professionals or teachers who specialize in teaching STEM. The last recommendation is for parents to participate in a workshop that will inform them of how to be more involved/engaged with their student.
ContributorsPushpraj, Soumya (Co-author) / Inamdar, Veda (Co-author) / Scott, Kimberly (Thesis director) / Escontrías, Gabriel (Committee member) / Department of Information Systems (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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Description
With growing levels of income inequality in the United States, it remains as important as ever to ensure indispensable public services are readily available to all members of society. This paper investigates four forms of public services (schools, libraries, fire stations, and police stations), first by researching the background of

With growing levels of income inequality in the United States, it remains as important as ever to ensure indispensable public services are readily available to all members of society. This paper investigates four forms of public services (schools, libraries, fire stations, and police stations), first by researching the background of these services and their relation to poverty, and then by conducting geospatial and regression analysis. The author uses Esri's ArcGIS Pro software to quantify the proximity to public services from urban American neighborhoods (census tracts in the cities of Phoenix and Chicago). Afterwards, the measures indicating proximity are compared to the socioeconomic statuses of neighborhoods using regression analysis. The results indicate that pure proximity to these four services is not necessarily correlated to socioeconomic status. While the paper does uncover some correlations, such as a relationship between school quality and socioeconomic status, the majority of the findings negate the author's hypothesis and show that, in Phoenix and Chicago, there is not much discrepancy between neighborhoods and the extent to which they are able to access vital government-funded services.
ContributorsNorbury, Adam Charles (Author) / Simon, Alan (Thesis director) / Simon, Phil (Committee member) / Department of Information Systems (Contributor) / Department of English (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value to the team that drafted them, and which level is safer to draft players from, college or high school. We

Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value to the team that drafted them, and which level is safer to draft players from, college or high school. We decided to look at draft data from 2006-2010 for the first ten rounds of players selected. Because there is only a monetary cap on players drafted in the first ten rounds we restricted our data to these players. Once we set up the parameters we compiled a spreadsheet of these players with both their signing bonuses and their wins above replacement (WAR). This allowed us to see how much a team was spending per win at the major league level. After the data was compiled we made pivot tables and graphs to visually represent our data and better understand the numbers. We found that the worst position that MLB teams could draft would be high school second baseman. They returned the lowest WAR of any player that we looked at. In general though high school players were more costly to sign and had lower WARs than their college counterparts making them, on average, a worse pick value wise. The best position you could pick was college shortstops. They had the trifecta of the best signability of all players, along with one of the highest WARs and lowest signing bonuses. These were three of the main factors that you want with your draft pick and they ranked near the top in all three categories. This research can help give guidelines to Major League teams as they go to select players in the draft. While there are always going to be exceptions to trends, by following the enclosed research teams can minimize risk in the draft.
ContributorsValentine, Robert (Co-author) / Johnson, Ben (Co-author) / Eaton, John (Thesis director) / Goegan, Brian (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05